About Us
Research in the Needleman laboratory combines physics and cell biology to study biological self-organizing. We seek to obtain a quantitative understanding of biological systems; how they result from mechanics and energetics, and the self-organization of their constituents; how they are perturbed in disease and change over evolution.
Self-organizing biological systems are examples of active matter, since they are driven out of equilibrium by energy transduction at the molecular level. Our long term goals are to uncover general principles which govern these non-equilibrium systems and to develop predictive theories of biological organization and behaviors. Our approach is to study complex biological systems using a close interplay between quantitative experiments and theory, developing new methods to produce the data we need.
In the Needleman lab, we value having an open environment for scientific learning and exploration. We welcome people of different backgrounds to join and contribute, and actively work to create an inclusive lab culture. We teach and help each other while navigating our independent research projects. Our lab is also committed to working with groups across the scientific community to share expertise and foster new research avenues.
Recent Publications
- BlastAssist: a deep learning pipeline to measure interpretable features of human embryos
- Laser ablation and fluid flows reveal the mechanism behind spindle and centrosome positioning
- Multi-Task Curriculum Learning for Partially Labeled Data
- Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation
- Noninvasive metabolic profiling of cumulus cells, oocytes, and embryos via fluorescence lifetime imaging microscopy: a mini-review
- Dissipation and energy propagation across scales in an active cytoskeletal material